How to build real-time Object Detector | Object Detection using Python | kandi tutorial

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AI Object Detection is used to build computer vision-based applications for face detection, vehicle detection, etc. with this ready-to-deploy template application.๐—œ๐—ป๐˜€๐˜๐—ฎ๐—น๐—น ๐˜๐—ตe ๐Ÿญ-๐—ฐ๐—น๐—ถ๐—ฐ๐—ธ ๐—ธ๐—ฎ๐—ป๐—ฑ๐—ถ ๐˜€๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป ๐—ธ๐—ถ๐˜ ๐—ผ๐—ป AI Object Detection ๐—ต๐—ฒ๐—ฟ๐—ฒ - https://kandi.openweaver.com/collections/vision/object-detection-kit?utm_source=youtube&utm_medium=social&utm_campaign=organic_kandi_ie&utm_content=kandi_ie_kits&utm_term=all_devs

This will install a sandbox Object Detector application and all the prerequisites needed for the tutorial.
#kandiB4Ucode

Using this 1-click install kandi kit you can build an application that can (a) localize and classify objects, and (b) detect objects in a video stream. You can download this pre-trained model and run it on any device. It is fast and very effective at identifying objects in images with high accuracy (99%). It also provides many advanced features like face detection, smile detection, etc. without any extra effort from your side!

We will use AI Object Detector libraries to customize and build an AI Object Detection engine. Source code included so that you can customize it for your requirement.

Explore many more projects on kandi - https://kandi.openweaver.com/?utm_source=youtube&utm_medium=social&utm_campaign=organic_kandi_ie&utm_content=kandi_ie_kits&utm_term=all_devs

#tensorflow #machinelearning #objectdetection




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